机构

• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [1]

内容类型

• 会议论文 [1]

发表日期

• 2010 [1]

学科主题

筛选

浏览/检索结果: 共1条，第1-1条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Super-resolution using adaptive blur parameter estimation (EI CONFERENCE) 会议论文  OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者:  Wang H.;  Wang H.;  Wang H.;  Wang H.;  Liu G. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 Super-resolution is a term for a set of methods of increasing image or video resolution. All these methods are based on the same idea: using information from several images to create one upsized image. In most of the super-resolution algorithms  the blur parameter of a LR-image model is always manually set as a default value. In this paper  we propose a method to adaptively estimate the blur parameter. We get the initial image of iteration by fusing all low-resolution images. When it is used in MAP algorithm  three iterations are enough to get a stable solution. It is greatly reduce the computational power compared with other MAP algorithms. Experiments to real image sequences show that it well preserved the image detail and the reconstructed image is clear. 2010 IEEE.